In this section, we describe experiments on three different manipulation datasets to explore the effectiveness of CFL-Net. These datasets are general manipulation datasets containing several manipulation types and are not specific to only a single manipulation type. The evaluation metric we use is pixel-wise Area Under Curve (AUC) score [1]}.
